Christoph Brune is Professor of Nonlinear Analysis and head of the MIA - Mathematics of Imaging & AI group in the Department of Applied Mathematics at the University of Twente.
His core research interest is the interplay of nonlinear analysis and deep learning related to inverse problems, mathematical imaging, machine learning, dynamical systems, numerical analysis and scientific computing. The main focus is on the development, analysis and application of geometric deep learning methods for solving partial differential equations and inverse problems. Important topics are deep learning regularization theory for inverse problems, dynamical systems theory, functional analysis in deep learning representation theory, graph neural networks for PDE systems, deep manifold learning and deep Gaussian processes for model-order reduction in PDEs. Impactful areas of application are medical imaging and data science for AI in health, neuroscience and digital twin development for AI in industry.
Expertise
Mathematics
- Neural Network
- Regularization
Computer Science
- Deep Learning Method
- Convolutional Neural Network
- Image Segmentation
- Implicit Neural Representation
- Data Augmentation
- Training Data
Organisations
Research profiles
Courses academic year 2026/2027
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
- 191508209 - Internship AM
- 191508309 - Final Project (combination)
- 191508409 - Final Project M-AM
- 193650999 - Masters Assignment
- 201300196 - Clinical Specialization Internship
- 201900209 - Inverse Problems in Imaging
- 202200116 - Capita Selecta Robotics
- 202200119 - Academic Skills Project
- 202200120 - Internship ROB
- 202200122 - MSc-Thesis Project
- 202300130 - Capita Selecta Applied Mathematics
- 202300349 - Internship ROB / ME
- 202400658 - MSc-Thesis Project ROB / ME
- 202400669 - Capita Selecta Applied Mathematics 2
- 202400754 - MSc-Thesis Project ROB / I-TECH
- 202500385 - Internship ROB / AM
- 202500386 - MSc-Thesis Project ROB / AM
- 202500496 - MSc-Thesis Project ROB / EMSYS
- 202500508 - MSc-Thesis Project ROB / NT
- 202600325 - Internship AM - 15 EC
- 202600326 - Final Project M-AM - 30 EC
- 202600497 - Deep Learning - From Theory to Practice
Courses academic year 2025/2026
- 191508209 - Internship AM
- 191508309 - Final Project (combination)
- 191508409 - Final Project M-AM
- 193650999 - Masters Assignment
- 200900030 - Master Research SE Mathematics
- 201300196 - Clinical Specialization Internship
- 201800177 - Deep Learning - From Theory to Practice
- 201900209 - Inverse Problems in Imaging
- 202100108 - UQ & Data-driven Modeling
- 202200116 - Capita Selecta Robotics
- 202200119 - Academic Skills Project
- 202200120 - Internship ROB
- 202200122 - MSc-Thesis Project
- 202300130 - Capita Selecta Applied Mathematics
- 202300349 - Internship ROB / ME
- 202400634 - Mathematics behind Data-Driven Methods
- 202400658 - MSc-Thesis Project ROB / ME
- 202400669 - Capita Selecta Applied Mathematics 2
- 202400754 - MSc-Thesis Project ROB / I-TECH
- 202500375 - Foundation Models
- 202500385 - Internship ROB / AM
- 202500386 - MSc-Thesis Project ROB / AM
- 202500496 - MSc-Thesis Project ROB / EMSYS
- 202500508 - MSc-Thesis Project ROB / NT
- 202500521 - Internship AM / CS 30 EC
- 202500526 - Internship AM / CS
Address

University of Twente
Zilverling (building no. 11), room 2061
Hallenweg 19
7522 NH Enschede
Netherlands
University of Twente
Zilverling 2061
P.O. Box 217
7500 AE Enschede
Netherlands